Full-Waveform Inversion Professors and Supervisors in Canada

Colin G. Farquharsonمشاهده پروفایل

استاد

Memorial University of NewfoundlandCanada

Colin G. Farquharson is a Professor in the Department of Earth Sciences at Memorial University of Newfoundland. His career spans roles including Assistant Professor (2008-2018), Associate Professor (2014-2018), and full Professor since 2018. He holds a Ph.D. in Geophysics from the University of British Columbia (1995) and a B.Sc. (Honours) in Geophysics from the University of Edinburgh (1990). His research focuses on forward modeling and inversion of geophysical electromagnetic data, particularly surface geometry inversion (SGI), meshfree methods for unstructured grids, and joint inversion techniques. Key projects include SGI for hydrothermal vent systems, 3D EM modeling for mineral exploration, and computational methods on unstructured tetrahedral meshes. His work addresses challenges in uranium exploration, subsurface imaging, and geological interface reconstruction. Publications emphasize advancements in electromagnetic theory, inversion algorithms, and applications in mineral and hydrocarbon exploration. Notable collaborations include work with Peter Lelièvre on surface-based inversion and stochastic optimization. Research groups include the CAG Group and FacetModeller team, focusing on integrating geological models with geophysical data. Awards and recognitions are not explicitly listed, but his extensive contributions to geophysical methodology and exploration geophysics are well-documented. He advises numerous graduate students and leads projects funded by NSERC, industry partnerships, and international collaborations.

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Dariush Motazedianمشاهده پروفایل

استاد

Carleton UniversityCanada

Summary Dr. Dariush Motazedian is a Full Professor of Engineering Seismology at Carleton University's Department of Earth Sciences within the Faculty of Science. He has held academic roles since 2003, including Department Chair (2016-2019). His research focuses on stochastic and hybrid earthquake fault modeling, seismic microzonation, and seismic soil dynamics. He leads collaborative projects with institutions like the Geological Survey of Canada (GSC), Hydro Quebec, and international partners. Key contributions include the EXSIM earthquake modeling technique, Ottawa's first seismic microzonation maps, and dynamic studies of Champlain Sea clays. Education Ph.D. in Engineering Seismology, Carleton University (2002) M.Sc. in Geophysics/Seismology, Tehran University (1995) B.Sc. in Applied Physics, Shiraz University (1988) Research Interests His work addresses earthquake ground motion prediction, crustal velocity modeling, and seismic hazard mitigation. He developed the EXSIM method, validated globally by institutions like the Southern California Earthquake Center. His team's Ottawa microzonation studies influenced updates to the National Building Code of Canada (NBCC). Current projects include seismic risk screening tools for existing buildings and dynamic properties of postglacial sediments. Grants & Collaborations Recipient of NSERC Strategic Research Network funding for Canadian Seismic Research. Led the POLARIS geophysical consortium deploying observatories across Canada. Collaborates with GSC, Laval University, and industry partners like Hydro Quebec. Labs & Teams Leads Carleton's Earthquake Modeling and Microzonation group. Data from the POLARIS project supports student research and international studies. Active in developing seismic tools for emergency preparedness and infrastructure resilience.

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Andrew Frederiksenمشاهده پروفایل

استاد

University of ManitobaCanada

Andrew Frederiksen is a Professor in the Department of Earth Sciences at the University of Manitoba and currently serves as the Associate Dean (Academic) of the Clayton H. Riddell Faculty of Environment, Earth, and Resources. His research focuses on earthquake seismology, lithospheric structure, and advanced geophysical imaging techniques, particularly in understanding continental tectonics and rifting processes. He holds a B.Sc. from McGill University (1994), an M.Sc. from the University of British Columbia (1997), and a Ph.D. from the same institution (2001), all in geophysics-related fields. Dr. Frederiksen's research interests span the use of seismic data to image Earth's interior, including techniques like tomography, shear-wave splitting, and receiver functions. He has contributed to projects such as the SPREE experiment, investigating the North American Midcontinent Rift System, and has developed novel methods for analyzing seismic noise and improving data processing algorithms. His work explores how tectonic processes shape the lithosphere, with applications to continental rifting, mantle dynamics, and crustal deformation. He teaches courses including Geophysical Inversion Methods (GEOL 4250), Seismology (GEOL 4320), and Geophysics Field Courses (GEOL 4740). His research has led to significant publications in journals like Geophysical Journal International and Journal of Geophysical Research , focusing on structural imaging, anisotropy analysis, and the Midcontinent Rift System.

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Alison Malcolmمشاهده پروفایل

استاد

Memorial University of NewfoundlandCanada

Alison Malcolm is a Professor in the Earth Sciences Department at Memorial University of Newfoundland, specializing in seismic imaging and geophysical methods. Her research focuses on uncertainty quantification, nonlinear imaging techniques, and full-waveform inversion (FWI). She leads a vibrant research group advising PhD, Master’s, and undergraduate students in topics such as subsurface imaging, rock physics, and CO2 sequestration monitoring. She holds a Ph.D. from Colorado School of Mines and a B.Sc. from the University of British Columbia. Affiliations: Memorial University of Newfoundland (MUN) Education: Ph.D. in Geophysics (2005, Colorado School of Mines), B.Sc. in Geophysics (University of British Columbia) Her research interests span uncertainty quantification in FWI, nonlinear elastic wave interactions, and subsurface monitoring. Current projects include experimental studies on crack effects in nonlinear elasticity (collaboration with Xuan Feng and James TenCate) and Bayesian inversion methods for CO2 reservoirs. She teaches advanced courses like Wave Equation Modeling, Processing and Inversion Algorithms and Seismic and Potential Fields Methods . Her lab conducts experiments on rock samples to understand nonlinear wave coupling, with applications in reservoir characterization and fault mechanics. Collaborations include MIT, ETH Zurich, and industry partners like ExxonMobil and Chevron. Alumni from her group hold positions in academia and industry worldwide. Key research themes include: Quantifying subsurface uncertainties using probabilistic methods Developing FWI algorithms for targeted imaging Exploring nonlinear phenomena for subsurface property estimation Her work integrates computational methods with laboratory experiments and field data, addressing challenges in energy exploration and environmental monitoring.

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Mauricio Sacchiمشاهده پروفایل

استاد

University of AlbertaCanada

Geophysics
Inverse Problems
Seismology
+۵ مورد دیگر

Mauricio Sacchi is a Professor in the Department of Physics at the University of Alberta, Faculty of Science. He holds the academic rank of Professor since 2005. His research focuses on geophysics, inverse problems, and seismology, with a particular emphasis on seismic data processing and imaging techniques. He has been Chair of the Department of Physics at UofA from 2010–2015 and 2016–2021. Education: BSc from Universidad Nacional de La Plata (UNLP), Argentina (1988), and PhD in Geophysics from the University of British Columbia (UBC), Canada (1996). Prior to his current role, he served as Assistant Professor (1997–2001) and Associate Professor (2001–2005) at the University of Alberta. Research Interests: Development of algorithms for multi-dimensional seismic data reconstruction, de-noising, and sparsity-promoting methods. Current projects include optimal acquisition design for simultaneous source acquisition, full waveform inversion, and waveform imaging in applied and global seismology. Notable Awards: 2012 CSEG Medal, 2014 SEG Honorary Lecturer, 2015 CSEG Distinguished Speaker, 2019 Vigil Kauffman Gold Medal, and 2023 Killam Annual Professor. Teaching: Courses include Computational Physics (PHYS 420/580) and Introduction to Seismic Imaging (GEOPH 326). He has advised numerous graduate students, including Wenlei Gao, Ke Chen, Gian Matharu, and Iliana Papathanasaki.

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Daniel Tradمشاهده پروفایل

دانشیار

University of CalgaryCanada

Dr. Daniel Trad is Associate Professor and Canadian Society of Exploration Geophysicists Chair in Exploration Geophysics at the University of Calgary. His research develops computational methods for seismic data analysis, with applications in energy exploration and environmental monitoring. Core innovations include machine learning-enhanced full-waveform inversion techniques and high-dimensional seismic data reconstruction algorithms. His lab focuses on solving inverse problems in geophysics through integrated mathematical modeling and high-performance computing. Teaching includes advanced courses in Geophysical Signal Processing and Imaging/Inversion. Research outputs contribute to improved subsurface characterization for resource exploration and carbon sequestration projects.

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Lora Ramunnoمشاهده پروفایل

استاد

University of OttawaCanada

Lora Ramunno is a Full Professor in the Department of Physics at the University of Ottawa, where she leads the Computational Nanophotonics Lab. She holds affiliations with the Max-Planck-UOttawa Centre for Extreme and Quantum Photonics, the NRC-UOttawa Joint Centre for Extreme Photonics, and the uOttawa Centre for Research in Photonics. She obtained her PhD in Physics from the University of Toronto in 2002, followed by a postdoctoral fellowship at uOttawa. Her research focuses on theoretical and computational approaches to photonics, with specialized interests in: Nanophotonics and nano-optics Intense laser-matter interactions Nonlinear optical microscopy High-performance computing applications Photonic device development Industrial collaborations in optical technologies Recent publications (2019-2025) demonstrate strong trends in machine learning applications for photonic design, quantum light sources, plasmonic metasurfaces, and biomedical imaging techniques. Her work frequently bridges fundamental physics with engineering applications in optical communication and sensing. Significant scientific recognitions include: Canada Research Chair in Computational Nanophotonics (2007-2017) Early Researcher Award (2007) She mentors graduate students and postdoctoral researchers through her lab and has established multiple international research collaborations. Her team utilizes advanced computational facilities for modeling light-matter interactions at nanoscales.

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Gabriel Fabien-Ouelletمشاهده پروفایل

استادیار

Polytechnic School of MontrealCanada

Gabriel Fabien-Ouellet is an Assistant Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. His research focuses on developing advanced geophysical methods using computational approaches, including seismic modeling, full waveform inversion, and machine learning applications for geophysical data processing. Education: Postdoctoral training in Geophysics - Stanford University Ph.D. in Earth Sciences - INRS M.Sc. in Earth Sciences - Université Laval B.Sc. in Physics - Université Laval B.Sc. in Physical Engineering - Université Laval His primary research interests include multi-parameter full waveform inversion for subsurface characterization, automated seismic processing using deep learning, and seismic attenuation analysis for permafrost characterization. His work bridges geophysical theory with high-performance computing implementations on GPU architectures. Recent publications demonstrate trends in machine learning applications for geophysical data processing, multi-method geophysical analysis for environmental monitoring, and advanced seismic techniques for climate-related permafrost studies. His research consistently integrates computational innovation with practical geophysical applications. He leads the development of SeisCL , an open-source software for seismic modeling and inversion on heterogeneous computing platforms. His research is supported by the Canada Foundation for Innovation and industrial partnerships, including an NSERC Industrial Chair in geothermal energy integration for institutional buildings.

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